Papers
130
Total Citations
2,738
H-Index
30
About
Marc Hanheide is a prominent robotics researcher whose work spans long-term autonomous systems, human-robot interaction (HRI), and responsible AI in real-world environments. Best known for his leadership in the STRANDS Project (196 citations), he has made foundational contributions to enabling service robots to operate reliably in complex, everyday settings over extended periods — a notoriously difficult challenge in autonomous systems. His research on task planning in open and uncertain worlds (152 citations) further demonstrates his commitment to building robots that can reason and adapt under real-world conditions. Hanheide has also made significant strides in agricultural robotics, championing responsible autonomous development in that sector (128 citations), and has advanced pedestrian trajectory prediction using long-term deployment data (104 citations). His work on trust in HRI, including a widely adopted taxonomy of failure types and mitigation strategies (93 citations), reflects a deep concern for safe, human-centered robot design. Earlier contributions in anthropomorphic robot interaction and multimodal social learning reveal a career consistently bridging technical rigor with human relevance. Through long-term real-world deployments — including the Lindsey museum tour guide robot — Hanheide has demonstrated an exceptional ability to translate laboratory research into genuine societal impact.
Research Focus
Key Achievements
Top Papers
- 1The STRANDS Project: Long-Term Autonomy in Everyday Environments196 citations · 2017
- 2Robot task planning and explanation in open and uncertain worlds152 citations · 2015
- 3Responsible development of autonomous robotics in agriculture128 citations · 2021
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- 5Taxonomy of Trust-Relevant Failures and Mitigation Strategies93 citations · 2020
- 6Human-Oriented Interaction With an Anthropomorphic Robot80 citations · 2007
- 7Real-time multisensor people tracking for human-robot spatial interaction62 citations · 2015
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- 10Attention via Synchrony: Making Use of Multimodal Cues in Social Learning52 citations · 2009